Results 91 to 100 of about 3,572,550 (313)

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

A review of machine learning in scanpath analysis for passive gaze-based interaction

Frontiers in Artificial Intelligence
The scanpath is an important concept in eye tracking. It refers to a person's eye movements over a period of time, commonly represented as a series of alternating fixations and saccades.
Abdulrahman Mohamed Selim, Michael Barz, Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Daniel Sonntag, Daniel Sonntag   +6 more
doaj   +1 more source

Advances in Computational Intelligence and Machine Learning Models and Applications

Machine learning (ML) and artificial intelligence (AI) have entered a phase of accelerated evolution, reshaping the computational landscape and influencing an ever-growing spectrum of scientific and industrial activities [...
Arkadiusz Tomczyk, Grzegorz Dudek
core   +1 more source

Degradable, Skin‐Conformal Nanocomposite‐Based Bioelectronic Patches for High‐Fidelity Electrophysiology and Gesture‐Controlled Robotics

Advanced Functional Materials, EarlyView.
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong, Hongna Yuan, Shubo Liu, Abdulkadir Sanli, Emiliano Bilotti, Han Zhang, Pietro Cataldi, Karin Hing, Oliver Fenwick, Colin J. Humphreys, Dimitrios G. Papageorgiou   +10 more
wiley   +1 more source

Explainable self-supervised learning for medical image diagnosis based on DINO V2 model and semantic search

Scientific Reports
Medical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available radiologists, leading to delays and diagnosis errors ...
Alaa Hussien, Abdelkareem Elkhateb, Mai Saeed, Nourhan M. Elsabawy, Alaa Ebraheem Elnakeeb, Nora Elrashidy   +5 more
doaj   +1 more source

Computational Intelligence and Machine Learning: Advances in Models and Applications

Computational intelligence (CI) and machine learning (ML) have evolved into foundational pillars of modern data-driven research, with growing impacts across domains such as engineering, medicine, finance, and environmental science [...
Grzegorz Dudek
core   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

Deep CNN ensemble framework for early detection of epileptic seizures using STFT-derived EEG features

Discover Artificial Intelligence
Epilepsy is a major neurological illness that affects several million around the globe, and it has a major impact on their daily activities. The epileptic seizures occur any time and at any location and this unpredictable nature of seizures makes it ...
Unnati Chaurasia, Shilpa SJ, Himanshu Kumar Pathak, Koushlendra Kumar Singh, Onkar Singh   +4 more
doaj   +1 more source

Test-Time Confidence Quantification Using Q-Ensembles for Offline RL

IEEE Access
Confidence estimation plays a critical role in evaluating the reliability of trained algorithms, particularly in domains where incorrect decisions can have severe consequences.
Jason Li, Muhammad Hamza Yousuf, Juhyun Seo, Jens Lehmann, Sahar Vahdati   +4 more
doaj   +1 more source

Constrained human preference alignment for natural language planning with LLMs

2025 International Conference on Machine Intelligence and Nature-Inspired Computing (MIND), 31 October - 2 November 2025, Xiamen, China202605 bcchAccepted ManuscriptRGCOthersThis work was supported in part by National Natural Science Foundation of China (
Cheng, R, Tan, KC, Zhou, Y, Hong, H
core   +1 more source